Evidence map›Paper›PMID 35982472›Full record

ArticleBiomarker research2022

A circular RNA blood panel that differentiates Alzheimer's disease from other dementia types.

Ziye Ren, Changbiao Chu, Yana Pang, Huimin Cai, Longfei Jia

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Biomarker research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
1.9field-weighted citation impact, top 14% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

17 citing papers in PubMed, 22 citations in OpenAlex.

  1. Article
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  3. Review
  4. Article
  5. Article
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  7. Article
  8. Review
  9. Circular RNAs as Biomarkers in the Diagnosis of Human Diseases.Advances in experimental medicine and biology · 2025
    Review
  10. Challenges and Future Prospectives in Circular RNA Investigation.Advances in experimental medicine and biology · 2025
    Review
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  15. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 1 institution in 1 country.

Ziye Ren *Innovation Center for Neurological Disorders and Department of Neurology, Xuanwu Hospital, Capital Medical University, National Clinical Research Center for Geriatric Diseases, 45 Changchun St, Beijing, China.
Changbiao Chu *Innovation Center for Neurological Disorders and Department of Neurology, Xuanwu Hospital, Capital Medical University, National Clinical Research Center for Geriatric Diseases, 45 Changchun St, Beijing, China.
Yana PangInnovation Center for Neurological Disorders and Department of Neurology, Xuanwu Hospital, Capital Medical University, National Clinical Research Center for Geriatric Diseases, 45 Changchun St, Beijing, China.
Huimin CaiInnovation Center for Neurological Disorders and Department of Neurology, Xuanwu Hospital, Capital Medical University, National Clinical Research Center for Geriatric Diseases, 45 Changchun St, Beijing, China.
Longfei JiaInnovation Center for Neurological Disorders and Department of Neurology, Xuanwu Hospital, Capital Medical University, National Clinical Research Center for Geriatric Diseases, 45 Changchun St, Beijing, China. longfei@mail.ccmu.edu.cn.
Capital Medical University · CN

Funding

Beijing Brain Initiative from Beijing Municipal Science & Technology Commission Z201100005520016Beijing Municipal Natural Science Foundation 7202061Capital's Funds for Health Improvement and Research 2022-2-2017National Natural Science Foundation of China 81870825
6 · The paper itself

Abstract

backgroundCircular RNAs (circRNAs) have been demonstrated to be associated with Alzheimer's disease (AD). Here, we conducted a study to explore whether circRNAs have the ability to differentiate AD from cognitively normal controls and other types of dementia, such as vascular dementia (VaD), Parkinson's disease dementia (PDD), behavioral variant frontotemporal dementia (bvFTD), and dementia with Lewy body (DLB).

methodsThree datasets were included in this study to measure blood circRNAs. The pilot study (Dataset 1, n = 40; controls, 20; AD, 20) was used to screen differentially expressed circRNAs. Dataset 2 (n = 124; controls, 61; AD, 63) was recruited for the establishment of the diagnostic model using a circRNA panel. Further, the Dataset 3 (n = 321; control, 58; AD, 60; VaD, 50; PDD, 51; bvFTD, 52; DLB, 50) was used to verify the diagnostic model.

resultsIn Dataset 1, 22 upregulated and 19 downregulated circRNAs were revealed. In Dataset 2, a six-circRNA panel was found to be able to distinguish patients with AD from controls. Then this panel was applied to Dataset 3 and successfully differentiated AD from other types of dementia.

conclusionThis study suggested that a six-circRNA panel is AD-specific and a promising biomarker of AD.

Indexed as

Alzheimer’s diseaseBiomarkercircRNADementiaDiagnosis

Identifiers

PMID35982472
PMCPMC9389828
OpenAlexW4292680990

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.